Decoding Task-Based fMRI Data with Graph Neural Networks, Considering Individual Differences

Decoding Task-Based fMRI Data with Graph Neural Networks, Considering Individual Differences

Task fMRI provides an opportunity to analyze the working mechanisms of the human brain during specific experimental paradigms. Deep learning models have increasingly been applied for decoding and encoding purposes study to representations in task fMRI data. More recently, graph neural networks, or n...

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Bibliographic Details
Main Authors: Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, Krzysztof Fiok, P. A. Hancock, Ben D. Sawyer, Leonardo Christov-Moore, Pamela K. Douglas
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Brain Sciences
Subjects:
task fMRI
brain decoding
classification
graph convolutional network
human connectome project
Online Access:https://www.mdpi.com/2076-3425/12/8/1094

Internet

https://www.mdpi.com/2076-3425/12/8/1094

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